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一种改进的最小统计噪声功率谱估计算法 被引量：2

Improved of noise estimation algorithm based on minimum statistic
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摘要 噪声功率谱估计是语音增强系统中的一个重要部分。基于Martin提出的最小统计噪声功率谱估计算法(MS)提出了一种改进的噪声功率谱估计算法。实验结果表明算法能够较好跟踪噪声谱的变化,提高噪声功率谱估计的准确性,改善增强后语音的质量。 Noise estimation is an important component of speech enhancement system. In this paper, a new improved algorithm is proposed for noise estimation based on minimum statistic algorithm. Experimental results show that the algorithm can track the changes in noise spectrum, improve the accuracy of the noise power spectrum estimation and the quality of enhanced speech.
作者 余耀 赵鹤鸣
机构地区 苏州大学电子信息学院信号与信息处理
出处 《计算机工程与应用》 CSCD 2013年第4期134-137,共4页 Computer Engineering and Applications
基金 苏州市科技发展计划(应用基础研究)项目(No.SYG201033)
关键词 噪声功率谱估计 最小统计 语音增强 noise estimation minimum statistic speech enhancement
分类号 TN912.35 [电子电信—通信与信息系统]
  • 相关文献

参考文献10

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二级参考文献26

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共引文献10

同被引文献30

  • 1Evans R E, Kortum P. The impact of voice characteristics on user response in an interactive voice response system[ J]. Interacting with Com- puters, 2010, 22(6) : 606 -614.
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  • 8朱丽芹.最小模原理的证明[J].济南大学学报（自然科学版）,2009,23(3):315-316. 被引量：2
  • 9王福杰,潘宏侠.MATLAB中几种功率谱估计函数的比较分析与选择[J].电子产品可靠性与环境试验,2009,27(6):28-31. 被引量：19
  • 10魏勋,耿志辉,王晓攀.语音识别的鲁棒性特征提取方法研究[J].无线电工程,2010,40(8):59-61. 被引量：1

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计算机工程与应用
2013年 第4期

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